Semantic annotation of text requires the dynamic merging of linguistically structured information and a "world model", usually represented as a domain-specific ontology. On the other hand, the process of engineering a domain ontology through semi-automatic ontology learning system requires the availability of a considerable amount of semantically annotated documents. Facing this bootstrapping paradox requires an incremental process of annotation